This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

ACME

This is the development version of ACME; for the stable release version, see ACME.

Algorithms for Calculating Microarray Enrichment (ACME)

Bioconductor version: Development (3.18)

ACME (Algorithms for Calculating Microarray Enrichment) is a set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing "enrichment". It does not rely on a specific array technology (although the array should be a "tiling" array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Author: Sean Davis <sdavis2 at mail.nih.gov>

Maintainer: Sean Davis <sdavis2 at mail.nih.gov>

Citation (from within R, enter citation("ACME")):

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ACME")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ACME")
ACME PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Normalization, Software, Technology
Version 2.57.0
In Bioconductor since BioC 2.0 (R-2.5) (16.5 years)
License GPL (>= 2)
Depends R (>= 2.10), Biobase(>= 2.5.5), methods, BiocGenerics
Imports graphics, stats
Linking To
Suggests
System Requirements
Enhances
URL http://watson.nci.nih.gov/~sdavis
See More
Depends On Me
Imports Me
Suggests Me oligo
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ACME_2.57.0.tar.gz
Windows Binary ACME_2.57.0.zip (64-bit only)
macOS Binary (x86_64) ACME_2.57.0.tgz
macOS Binary (arm64) ACME_2.57.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ACME
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ACME
Bioc Package Browser https://code.bioconductor.org/browse/ACME/
Package Short Url https://bioconductor.org/packages/ACME/
Package Downloads Report Download Stats